It could look... «The Hundred-Page Machine Learning Book»
Discimus6 декабря 2020It could look counter-intuitive that learning could benefit from adding more unlabeled examples. It seems like we add more uncertainty to the problem. However, when you add unlabeled examples, you add more information about your problem: a larger sample reflects better the probability distribution the data we labeled came from.
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